Overview

Dataset statistics

Number of variables33
Number of observations1284
Missing cells12541
Missing cells (%)29.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory360.0 KiB
Average record size in memory287.1 B

Variable types

Numeric16
Categorical8
Text4
Unsupported4
DateTime1

Dataset

Description2022-01-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123127

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
재개업일자 is highly imbalanced (98.4%)Imbalance
인허가취소일자 has 1228 (95.6%) missing valuesMissing
폐업일자 has 261 (20.3%) missing valuesMissing
휴업시작일자 has 1268 (98.8%) missing valuesMissing
휴업종료일자 has 1268 (98.8%) missing valuesMissing
소재지전화 has 185 (14.4%) missing valuesMissing
소재지면적 has 1284 (100.0%) missing valuesMissing
소재지우편번호 has 462 (36.0%) missing valuesMissing
소재지전체주소 has 231 (18.0%) missing valuesMissing
도로명전체주소 has 67 (5.2%) missing valuesMissing
도로명우편번호 has 642 (50.0%) missing valuesMissing
업태구분명 has 1284 (100.0%) missing valuesMissing
좌표정보(x) has 48 (3.7%) missing valuesMissing
좌표정보(y) has 48 (3.7%) missing valuesMissing
자산규모 has 564 (43.9%) missing valuesMissing
부채총액 has 567 (44.2%) missing valuesMissing
자본금 has 566 (44.1%) missing valuesMissing
판매방식명 has 1284 (100.0%) missing valuesMissing
Unnamed: 32 has 1284 (100.0%) missing valuesMissing
자산규모 is highly skewed (γ1 = 26.61134333)Skewed
부채총액 is highly skewed (γ1 = 26.57645171)Skewed
자본금 is highly skewed (γ1 = 26.01195168)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
판매방식명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자산규모 has 79 (6.2%) zerosZeros
부채총액 has 420 (32.7%) zerosZeros
자본금 has 38 (3.0%) zerosZeros

Reproduction

Analysis started2024-04-17 06:08:14.387641
Analysis finished2024-04-17 06:08:15.133967
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1284
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean642.5
Minimum1
Maximum1284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:15.190182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile65.15
Q1321.75
median642.5
Q3963.25
95-th percentile1219.85
Maximum1284
Range1283
Interquartile range (IQR)641.5

Descriptive statistics

Standard deviation370.80318
Coefficient of variation (CV)0.57712558
Kurtosis-1.2
Mean642.5
Median Absolute Deviation (MAD)321
Skewness0
Sum824970
Variance137495
MonotonicityStrictly increasing
2024-04-17T15:08:15.316423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
805 1
 
0.1%
863 1
 
0.1%
862 1
 
0.1%
861 1
 
0.1%
860 1
 
0.1%
859 1
 
0.1%
858 1
 
0.1%
857 1
 
0.1%
856 1
 
0.1%
Other values (1274) 1274
99.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1284 1
0.1%
1283 1
0.1%
1282 1
0.1%
1281 1
0.1%
1280 1
0.1%
1279 1
0.1%
1278 1
0.1%
1277 1
0.1%
1276 1
0.1%
1275 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
전화권유판매업
1284 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전화권유판매업
2nd row전화권유판매업
3rd row전화권유판매업
4th row전화권유판매업
5th row전화권유판매업

Common Values

ValueCountFrequency (%)
전화권유판매업 1284
100.0%

Length

2024-04-17T15:08:15.430207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:15.514806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전화권유판매업 1284
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
08_26_03_P
1284 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row08_26_03_P
2nd row08_26_03_P
3rd row08_26_03_P
4th row08_26_03_P
5th row08_26_03_P

Common Values

ValueCountFrequency (%)
08_26_03_P 1284
100.0%

Length

2024-04-17T15:08:15.601554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:15.676796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08_26_03_p 1284
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322842.7
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:15.746683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13290000
median3310000
Q33370000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation39534.748
Coefficient of variation (CV)0.011897869
Kurtosis-1.2257672
Mean3322842.7
Median Absolute Deviation (MAD)20000
Skewness0.25913255
Sum4.26653 × 109
Variance1.5629963 × 109
MonotonicityIncreasing
2024-04-17T15:08:15.841971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 370
28.8%
3370000 198
15.4%
3330000 117
 
9.1%
3300000 108
 
8.4%
3350000 89
 
6.9%
3270000 88
 
6.9%
3380000 73
 
5.7%
3390000 46
 
3.6%
3310000 42
 
3.3%
3320000 40
 
3.1%
Other values (6) 113
 
8.8%
ValueCountFrequency (%)
3250000 27
 
2.1%
3260000 7
 
0.5%
3270000 88
 
6.9%
3280000 7
 
0.5%
3290000 370
28.8%
3300000 108
 
8.4%
3310000 42
 
3.3%
3320000 40
 
3.1%
3330000 117
 
9.1%
3340000 37
 
2.9%
ValueCountFrequency (%)
3400000 21
 
1.6%
3390000 46
 
3.6%
3380000 73
 
5.7%
3370000 198
15.4%
3360000 14
 
1.1%
3350000 89
6.9%
3340000 37
 
2.9%
3330000 117
9.1%
3320000 40
 
3.1%
3310000 42
 
3.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1284
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.011967 × 1018
Minimum2.002329 × 1018
Maximum2.02134 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:15.961983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.002329 × 1018
5-th percentile2.0063253 × 1018
Q12.00833 × 1018
median2.011329 × 1018
Q32.015329 × 1018
95-th percentile2.020333 × 1018
Maximum2.02134 × 1018
Range1.9011002 × 1016
Interquartile range (IQR)6.9990043 × 1015

Descriptive statistics

Standard deviation4.4073998 × 1015
Coefficient of variation (CV)0.0021905924
Kurtosis-0.71949204
Mean2.011967 × 1018
Median Absolute Deviation (MAD)3.0025006 × 1015
Skewness0.4686395
Sum8.2149364 × 1017
Variance1.9425173 × 1031
MonotonicityNot monotonic
2024-04-17T15:08:16.082965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2018325008324200001 1
 
0.1%
2011333010324200005 1
 
0.1%
2007335008024200022 1
 
0.1%
2021335011224200003 1
 
0.1%
2021335011224200001 1
 
0.1%
2021335011224200002 1
 
0.1%
2012335008524200003 1
 
0.1%
2017335010024200006 1
 
0.1%
2017335010024200005 1
 
0.1%
2017335010024200004 1
 
0.1%
Other values (1274) 1274
99.2%
ValueCountFrequency (%)
2002329008524200001 1
0.1%
2002329008524200006 1
0.1%
2002333008224200001 1
0.1%
2003329008524200011 1
0.1%
2003333008224200001 1
0.1%
2004325005924200015 1
0.1%
2004325005924200016 1
0.1%
2004329008524200005 1
0.1%
2004329008524200007 1
0.1%
2004329008524200008 1
0.1%
ValueCountFrequency (%)
2021340010924200003 1
0.1%
2021340010924200002 1
0.1%
2021340010924200001 1
0.1%
2021339010924200004 1
0.1%
2021339010924200003 1
0.1%
2021339010924200002 1
0.1%
2021337010624200004 1
0.1%
2021337010624200003 1
0.1%
2021337010624200002 1
0.1%
2021337010624200001 1
0.1%

인허가일자
Real number (ℝ)

Distinct1012
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20112971
Minimum20020820
Maximum20211124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:16.203230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020820
5-th percentile20050916
Q120080414
median20110106
Q320141120
95-th percentile20200291
Maximum20211124
Range190304
Interquartile range (IQR)60706.25

Descriptive statistics

Standard deviation44733.035
Coefficient of variation (CV)0.0022240889
Kurtosis-0.64093778
Mean20112971
Median Absolute Deviation (MAD)30222.5
Skewness0.45829985
Sum2.5825055 × 1010
Variance2.0010444 × 109
MonotonicityNot monotonic
2024-04-17T15:08:16.322259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080826 8
 
0.6%
20080527 8
 
0.6%
20080526 6
 
0.5%
20150304 5
 
0.4%
20161013 5
 
0.4%
20120106 5
 
0.4%
20090427 4
 
0.3%
20051005 4
 
0.3%
20090615 4
 
0.3%
20111020 4
 
0.3%
Other values (1002) 1231
95.9%
ValueCountFrequency (%)
20020820 1
0.1%
20020822 1
0.1%
20020823 1
0.1%
20020829 1
0.1%
20020904 1
0.1%
20030219 1
0.1%
20030328 1
0.1%
20030408 1
0.1%
20030429 1
0.1%
20030602 1
0.1%
ValueCountFrequency (%)
20211124 1
0.1%
20211123 1
0.1%
20211109 1
0.1%
20211022 1
0.1%
20210928 1
0.1%
20210901 1
0.1%
20210810 2
0.2%
20210719 1
0.1%
20210705 1
0.1%
20210625 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)44.6%
Missing1228
Missing (%)95.6%
Infinite0
Infinite (%)0.0%
Mean20093048
Minimum20070706
Maximum20131218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:16.424344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070706
5-th percentile20071218
Q120080908
median20100370
Q320101206
95-th percentile20123534
Maximum20131218
Range60512
Interquartile range (IQR)20298.5

Descriptive statistics

Standard deviation16147.133
Coefficient of variation (CV)0.00080361792
Kurtosis-0.14119674
Mean20093048
Median Absolute Deviation (MAD)10138
Skewness0.45152819
Sum1.1252107 × 109
Variance2.6072992 × 108
MonotonicityNot monotonic
2024-04-17T15:08:16.518142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20100514 8
 
0.6%
20101231 6
 
0.5%
20071218 4
 
0.3%
20081226 4
 
0.3%
20100422 3
 
0.2%
20071226 3
 
0.2%
20090805 3
 
0.2%
20080908 3
 
0.2%
20121205 2
 
0.2%
20080522 2
 
0.2%
Other values (15) 18
 
1.4%
(Missing) 1228
95.6%
ValueCountFrequency (%)
20070706 1
 
0.1%
20071218 4
0.3%
20071220 2
0.2%
20071226 3
0.2%
20080522 2
0.2%
20080908 3
0.2%
20080917 2
0.2%
20081211 1
 
0.1%
20081226 4
0.3%
20090805 3
0.2%
ValueCountFrequency (%)
20131218 1
 
0.1%
20130617 1
 
0.1%
20130522 1
 
0.1%
20121205 2
 
0.2%
20110610 1
 
0.1%
20110405 1
 
0.1%
20101231 6
0.5%
20101208 1
 
0.1%
20101206 1
 
0.1%
20100927 1
 
0.1%

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
3
629 
4
449 
1
194 
2
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 629
49.0%
4 449
35.0%
1 194
 
15.1%
2 12
 
0.9%

Length

2024-04-17T15:08:16.618560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:16.706739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 629
49.0%
4 449
35.0%
1 194
 
15.1%
2 12
 
0.9%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
폐업
629 
취소/말소/만료/정지/중지
449 
영업/정상
194 
휴업
 
12

Length

Max length14
Median length5
Mean length6.6495327
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 629
49.0%
취소/말소/만료/정지/중지 449
35.0%
영업/정상 194
 
15.1%
휴업 12
 
0.9%

Length

2024-04-17T15:08:16.797007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:16.881619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 629
49.0%
취소/말소/만료/정지/중지 449
35.0%
영업/정상 194
 
15.1%
휴업 12
 
0.9%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
3
629 
7
390 
1
194 
4
 
59
2
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 629
49.0%
7 390
30.4%
1 194
 
15.1%
4 59
 
4.6%
2 12
 
0.9%

Length

2024-04-17T15:08:16.987945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:17.074153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 629
49.0%
7 390
30.4%
1 194
 
15.1%
4 59
 
4.6%
2 12
 
0.9%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
폐업처리
629 
직권말소
390 
정상영업
194 
직권취소
 
59
휴업처리
 
12

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정상영업
2nd row정상영업
3rd row정상영업
4th row폐업처리
5th row폐업처리

Common Values

ValueCountFrequency (%)
폐업처리 629
49.0%
직권말소 390
30.4%
정상영업 194
 
15.1%
직권취소 59
 
4.6%
휴업처리 12
 
0.9%

Length

2024-04-17T15:08:17.164874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:17.245672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 629
49.0%
직권말소 390
30.4%
정상영업 194
 
15.1%
직권취소 59
 
4.6%
휴업처리 12
 
0.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct630
Distinct (%)61.6%
Missing261
Missing (%)20.3%
Infinite0
Infinite (%)0.0%
Mean20131119
Minimum20070604
Maximum20211125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:17.354032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070604
5-th percentile20080520
Q120100524
median20130726
Q320160331
95-th percentile20191002
Maximum20211125
Range140521
Interquartile range (IQR)59806.5

Descriptive statistics

Standard deviation34914.67
Coefficient of variation (CV)0.0017343631
Kurtosis-0.83842834
Mean20131119
Median Absolute Deviation (MAD)29895
Skewness0.21689018
Sum2.0594135 × 1010
Variance1.2190342 × 109
MonotonicityNot monotonic
2024-04-17T15:08:17.472275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090817 16
 
1.2%
20170221 14
 
1.1%
20110915 13
 
1.0%
20140901 12
 
0.9%
20120814 12
 
0.9%
20130204 11
 
0.9%
20090604 10
 
0.8%
20100514 9
 
0.7%
20150327 9
 
0.7%
20130827 9
 
0.7%
Other values (620) 908
70.7%
(Missing) 261
 
20.3%
ValueCountFrequency (%)
20070604 1
0.1%
20070706 1
0.1%
20070709 1
0.1%
20070716 1
0.1%
20070806 1
0.1%
20070807 2
0.2%
20070824 1
0.1%
20071107 1
0.1%
20071109 1
0.1%
20071130 1
0.1%
ValueCountFrequency (%)
20211125 1
0.1%
20211122 1
0.1%
20211025 1
0.1%
20211022 1
0.1%
20210929 1
0.1%
20210907 1
0.1%
20210706 1
0.1%
20210630 1
0.1%
20210615 1
0.1%
20210612 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing1268
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean20167015
Minimum20090226
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:17.574452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090226
5-th percentile20098398
Q120153370
median20180469
Q320190536
95-th percentile20200931
Maximum20201231
Range111005
Interquartile range (IQR)37167

Descriptive statistics

Standard deviation35167.287
Coefficient of variation (CV)0.0017438023
Kurtosis0.32504946
Mean20167015
Median Absolute Deviation (MAD)15187.5
Skewness-1.1756556
Sum3.2267224 × 108
Variance1.236738 × 109
MonotonicityNot monotonic
2024-04-17T15:08:17.665171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20201231 1
 
0.1%
20181031 1
 
0.1%
20090226 1
 
0.1%
20160819 1
 
0.1%
20190227 1
 
0.1%
20180511 1
 
0.1%
20171122 1
 
0.1%
20191210 1
 
0.1%
20200103 1
 
0.1%
20101122 1
 
0.1%
Other values (6) 6
 
0.5%
(Missing) 1268
98.8%
ValueCountFrequency (%)
20090226 1
0.1%
20101122 1
0.1%
20130826 1
0.1%
20131021 1
0.1%
20160819 1
0.1%
20171122 1
0.1%
20171219 1
0.1%
20180427 1
0.1%
20180511 1
0.1%
20181031 1
0.1%
ValueCountFrequency (%)
20201231 1
0.1%
20200831 1
0.1%
20200103 1
0.1%
20191210 1
0.1%
20190312 1
0.1%
20190227 1
0.1%
20181031 1
0.1%
20180511 1
0.1%
20180427 1
0.1%
20171219 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing1268
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean20180806
Minimum20090630
Maximum20241231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:17.751727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090630
5-th percentile20105548
Q120156177
median20190720
Q320210630
95-th percentile20233128
Maximum20241231
Range150601
Interquartile range (IQR)54453

Descriptive statistics

Standard deviation42726.298
Coefficient of variation (CV)0.002117175
Kurtosis-0.040181615
Mean20180806
Median Absolute Deviation (MAD)24699.5
Skewness-0.67821846
Sum3.228929 × 108
Variance1.8255365 × 109
MonotonicityNot monotonic
2024-04-17T15:08:17.855913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20191231 2
 
0.2%
20210630 2
 
0.2%
20241231 1
 
0.1%
20230201 1
 
0.1%
20141015 1
 
0.1%
20230427 1
 
0.1%
20180531 1
 
0.1%
20110521 1
 
0.1%
20140826 1
 
0.1%
20181121 1
 
0.1%
Other values (4) 4
 
0.3%
(Missing) 1268
98.8%
ValueCountFrequency (%)
20090630 1
0.1%
20110521 1
0.1%
20140826 1
0.1%
20141015 1
0.1%
20161231 1
0.1%
20180531 1
0.1%
20181121 1
0.1%
20190511 1
0.1%
20190930 1
0.1%
20191231 2
0.2%
ValueCountFrequency (%)
20241231 1
0.1%
20230427 1
0.1%
20230201 1
0.1%
20210630 2
0.2%
20191231 2
0.2%
20190930 1
0.1%
20190511 1
0.1%
20181121 1
0.1%
20180531 1
0.1%
20161231 1
0.1%

재개업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1280 
20060126
 
1
20100217
 
1
20200312
 
1
20090724
 
1

Length

Max length8
Median length4
Mean length4.0124611
Min length4

Unique

Unique4 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1280
99.7%
20060126 1
 
0.1%
20100217 1
 
0.1%
20200312 1
 
0.1%
20090724 1
 
0.1%

Length

2024-04-17T15:08:17.987157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:18.095049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1280
99.7%
20060126 1
 
0.1%
20100217 1
 
0.1%
20200312 1
 
0.1%
20090724 1
 
0.1%

소재지전화
Text

MISSING 

Distinct1024
Distinct (%)93.2%
Missing185
Missing (%)14.4%
Memory size10.2 KiB
2024-04-17T15:08:18.289439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length10.903549
Min length1

Characters and Unicode

Total characters11983
Distinct characters16
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique957 ?
Unique (%)87.1%

Sample

1st row051-466-0046
2nd row051-207-1111
3rd row051 710 0088
4th row051 465 2480
5th row051-463-3556
ValueCountFrequency (%)
051 97
 
7.5%
711 6
 
0.5%
853 5
 
0.4%
051-747-5044 4
 
0.3%
861 4
 
0.3%
906 4
 
0.3%
465 4
 
0.3%
851 4
 
0.3%
517 4
 
0.3%
868 4
 
0.3%
Other values (1068) 1158
89.5%
2024-04-17T15:08:18.632344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2169
18.1%
1 1602
13.4%
- 1590
13.3%
5 1521
12.7%
8 849
 
7.1%
7 820
 
6.8%
6 773
 
6.5%
9 641
 
5.3%
3 618
 
5.2%
4 616
 
5.1%
Other values (6) 784
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10180
85.0%
Dash Punctuation 1590
 
13.3%
Space Separator 195
 
1.6%
Close Punctuation 12
 
0.1%
Math Symbol 4
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2169
21.3%
1 1602
15.7%
5 1521
14.9%
8 849
 
8.3%
7 820
 
8.1%
6 773
 
7.6%
9 641
 
6.3%
3 618
 
6.1%
4 616
 
6.1%
2 571
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1590
100.0%
Space Separator
ValueCountFrequency (%)
195
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11983
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2169
18.1%
1 1602
13.4%
- 1590
13.3%
5 1521
12.7%
8 849
 
7.1%
7 820
 
6.8%
6 773
 
6.5%
9 641
 
5.3%
3 618
 
5.2%
4 616
 
5.1%
Other values (6) 784
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11983
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2169
18.1%
1 1602
13.4%
- 1590
13.3%
5 1521
12.7%
8 849
 
7.1%
7 820
 
6.8%
6 773
 
6.5%
9 641
 
5.3%
3 618
 
5.2%
4 616
 
5.1%
Other values (6) 784
 
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct251
Distinct (%)30.5%
Missing462
Missing (%)36.0%
Infinite0
Infinite (%)0.0%
Mean610999.33
Minimum600012
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:18.824594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600012
5-th percentile601060
Q1608040
median612010
Q3614050
95-th percentile616110
Maximum619952
Range19940
Interquartile range (IQR)6010

Descriptive statistics

Standard deviation4470.5657
Coefficient of variation (CV)0.0073168096
Kurtosis0.010176905
Mean610999.33
Median Absolute Deviation (MAD)2670
Skewness-0.8756593
Sum5.0224145 × 108
Variance19985958
MonotonicityNot monotonic
2024-04-17T15:08:19.219991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614050 45
 
3.5%
614030 42
 
3.3%
607060 26
 
2.0%
614040 26
 
2.0%
612020 26
 
2.0%
611080 24
 
1.9%
614020 21
 
1.6%
611839 18
 
1.4%
613100 14
 
1.1%
613120 13
 
1.0%
Other values (241) 567
44.2%
(Missing) 462
36.0%
ValueCountFrequency (%)
600012 1
 
0.1%
600074 1
 
0.1%
600110 1
 
0.1%
600714 1
 
0.1%
600717 1
 
0.1%
600721 1
 
0.1%
600723 2
 
0.2%
600802 1
 
0.1%
600815 1
 
0.1%
600816 8
0.6%
ValueCountFrequency (%)
619952 1
 
0.1%
619951 1
 
0.1%
619905 1
 
0.1%
619903 2
0.2%
619902 1
 
0.1%
618806 2
0.2%
617844 3
0.2%
617841 1
 
0.1%
617838 1
 
0.1%
617837 1
 
0.1%

소재지전체주소
Text

MISSING 

Distinct797
Distinct (%)75.7%
Missing231
Missing (%)18.0%
Memory size10.2 KiB
2024-04-17T15:08:19.425754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length28.646724
Min length12

Characters and Unicode

Total characters30165
Distinct characters336
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique670 ?
Unique (%)63.6%

Sample

1st row부산광역시 중구 중앙동*가 **-**
2nd row부산광역시 중구 중앙동*가 **-*
3rd row부산광역시 중구 중앙동*가 **-*
4th row부산광역시 중구 중앙동*가 **번지 대신증권빌딩 *층
5th row부산광역시 중구 중앙동*가 **번지 *호 국제회관빌딩 *층
ValueCountFrequency (%)
호 1061
16.8%
부산광역시 1052
16.6%
번지 967
15.3%
층 337
 
5.3%
부산진구 292
 
4.6%
연제구 182
 
2.9%
연산동 125
 
2.0%
105
 
1.7%
동래구 93
 
1.5%
부전동 89
 
1.4%
Other values (601) 2021
32.0%
2024-04-17T15:08:19.756844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6160
20.4%
5295
17.6%
산 1545
 
5.1%
부 1498
 
5.0%
동 1283
 
4.3%
광 1087
 
3.6%
호 1085
 
3.6%
시 1070
 
3.5%
구 1064
 
3.5%
역 1056
 
3.5%
Other values (326) 9022
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18492
61.3%
Other Punctuation 6190
 
20.5%
Space Separator 5295
 
17.6%
Uppercase Letter 92
 
0.3%
Dash Punctuation 80
 
0.3%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1545
 
8.4%
부 1498
 
8.1%
동 1283
 
6.9%
광 1087
 
5.9%
호 1085
 
5.9%
시 1070
 
5.8%
구 1064
 
5.8%
역 1056
 
5.7%
지 1023
 
5.5%
번 968
 
5.2%
Other values (301) 6813
36.8%
Uppercase Letter
ValueCountFrequency (%)
T 24
26.1%
K 23
25.0%
B 13
14.1%
S 10
10.9%
O 6
 
6.5%
D 3
 
3.3%
I 2
 
2.2%
H 2
 
2.2%
A 2
 
2.2%
C 2
 
2.2%
Other values (5) 5
 
5.4%
Other Punctuation
ValueCountFrequency (%)
* 6160
99.5%
, 22
 
0.4%
/ 7
 
0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5295
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18492
61.3%
Common 11578
38.4%
Latin 95
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1545
 
8.4%
부 1498
 
8.1%
동 1283
 
6.9%
광 1087
 
5.9%
호 1085
 
5.9%
시 1070
 
5.8%
구 1064
 
5.8%
역 1056
 
5.7%
지 1023
 
5.5%
번 968
 
5.2%
Other values (301) 6813
36.8%
Latin
ValueCountFrequency (%)
T 24
25.3%
K 23
24.2%
B 13
13.7%
S 10
10.5%
O 6
 
6.3%
D 3
 
3.2%
e 3
 
3.2%
I 2
 
2.1%
H 2
 
2.1%
A 2
 
2.1%
Other values (6) 7
 
7.4%
Common
ValueCountFrequency (%)
* 6160
53.2%
5295
45.7%
- 80
 
0.7%
, 22
 
0.2%
/ 7
 
0.1%
( 5
 
< 0.1%
) 5
 
< 0.1%
~ 3
 
< 0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18492
61.3%
ASCII 11673
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6160
52.8%
5295
45.4%
- 80
 
0.7%
T 24
 
0.2%
K 23
 
0.2%
, 22
 
0.2%
B 13
 
0.1%
S 10
 
0.1%
/ 7
 
0.1%
O 6
 
0.1%
Other values (15) 33
 
0.3%
Hangul
ValueCountFrequency (%)
산 1545
 
8.4%
부 1498
 
8.1%
동 1283
 
6.9%
광 1087
 
5.9%
호 1085
 
5.9%
시 1070
 
5.8%
구 1064
 
5.8%
역 1056
 
5.7%
지 1023
 
5.5%
번 968
 
5.2%
Other values (301) 6813
36.8%

도로명전체주소
Text

MISSING 

Distinct1035
Distinct (%)85.0%
Missing67
Missing (%)5.2%
Memory size10.2 KiB
2024-04-17T15:08:19.999869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length33.221035
Min length21

Characters and Unicode

Total characters40430
Distinct characters365
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique905 ?
Unique (%)74.4%

Sample

1st row부산광역시 중구 충장대로*번길 **, 남정빌딩 ***호 (중앙동*가)
2nd row부산광역시 중구 충장대로*번길 **-*, *층 (중앙동*가)
3rd row부산광역시 중구 충장대로*번길 **-*, ***호 (중앙동*가)
4th row부산광역시 중구 해관로 ** (중앙동*가,대신증권빌딩 *층)
5th row부산광역시 중구 중앙대로 ** (중앙동*가,국제회관빌딩 *층)
ValueCountFrequency (%)
1246
16.8%
부산광역시 1217
16.4%
층 475
 
6.4%
호 370
 
5.0%
부산진구 358
 
4.8%
중앙대로 247
 
3.3%
연제구 197
 
2.6%
해운대구 110
 
1.5%
연산동 103
 
1.4%
동래구 88
 
1.2%
Other values (1020) 3025
40.7%
2024-04-17T15:08:20.374477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6303
 
15.6%
6226
 
15.4%
산 1808
 
4.5%
부 1792
 
4.4%
동 1600
 
4.0%
, 1326
 
3.3%
시 1275
 
3.2%
광 1271
 
3.1%
구 1227
 
3.0%
역 1220
 
3.0%
Other values (355) 16382
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23885
59.1%
Other Punctuation 7636
 
18.9%
Space Separator 6226
 
15.4%
Close Punctuation 1208
 
3.0%
Open Punctuation 1208
 
3.0%
Uppercase Letter 129
 
0.3%
Dash Punctuation 125
 
0.3%
Lowercase Letter 9
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1808
 
7.6%
부 1792
 
7.5%
동 1600
 
6.7%
시 1275
 
5.3%
광 1271
 
5.3%
구 1227
 
5.1%
역 1220
 
5.1%
로 1219
 
5.1%
대 707
 
3.0%
층 605
 
2.5%
Other values (328) 11161
46.7%
Uppercase Letter
ValueCountFrequency (%)
K 36
27.9%
T 36
27.9%
B 13
 
10.1%
S 8
 
6.2%
O 6
 
4.7%
C 5
 
3.9%
A 4
 
3.1%
V 3
 
2.3%
E 3
 
2.3%
W 3
 
2.3%
Other values (6) 12
 
9.3%
Other Punctuation
ValueCountFrequency (%)
* 6303
82.5%
, 1326
 
17.4%
/ 7
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
55.6%
k 2
 
22.2%
t 2
 
22.2%
Space Separator
ValueCountFrequency (%)
6226
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1208
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1208
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 125
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23885
59.1%
Common 16407
40.6%
Latin 138
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1808
 
7.6%
부 1792
 
7.5%
동 1600
 
6.7%
시 1275
 
5.3%
광 1271
 
5.3%
구 1227
 
5.1%
역 1220
 
5.1%
로 1219
 
5.1%
대 707
 
3.0%
층 605
 
2.5%
Other values (328) 11161
46.7%
Latin
ValueCountFrequency (%)
K 36
26.1%
T 36
26.1%
B 13
 
9.4%
S 8
 
5.8%
O 6
 
4.3%
C 5
 
3.6%
e 5
 
3.6%
A 4
 
2.9%
V 3
 
2.2%
E 3
 
2.2%
Other values (9) 19
13.8%
Common
ValueCountFrequency (%)
* 6303
38.4%
6226
37.9%
, 1326
 
8.1%
) 1208
 
7.4%
( 1208
 
7.4%
- 125
 
0.8%
/ 7
 
< 0.1%
~ 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23885
59.1%
ASCII 16545
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6303
38.1%
6226
37.6%
, 1326
 
8.0%
) 1208
 
7.3%
( 1208
 
7.3%
- 125
 
0.8%
K 36
 
0.2%
T 36
 
0.2%
B 13
 
0.1%
S 8
 
< 0.1%
Other values (17) 56
 
0.3%
Hangul
ValueCountFrequency (%)
산 1808
 
7.6%
부 1792
 
7.5%
동 1600
 
6.7%
시 1275
 
5.3%
광 1271
 
5.3%
구 1227
 
5.1%
역 1220
 
5.1%
로 1219
 
5.1%
대 707
 
3.0%
층 605
 
2.5%
Other values (328) 11161
46.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct374
Distinct (%)58.3%
Missing642
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean320087.52
Minimum46008
Maximum619906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:20.499103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46008
5-th percentile46275.15
Q147541
median49085
Q3612050.75
95-th percentile614870
Maximum619906
Range573898
Interquartile range (IQR)564509.75

Descriptive statistics

Standard deviation282282.73
Coefficient of variation (CV)0.88189234
Kurtosis-2.0010369
Mean320087.52
Median Absolute Deviation (MAD)3008
Skewness0.069043144
Sum2.0549619 × 108
Variance7.9683539 × 1010
MonotonicityNot monotonic
2024-04-17T15:08:20.611176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 19
 
1.5%
614853 18
 
1.4%
611839 17
 
1.3%
47596 10
 
0.8%
47257 8
 
0.6%
614843 6
 
0.5%
47541 6
 
0.5%
614776 6
 
0.5%
611831 6
 
0.5%
614870 6
 
0.5%
Other values (364) 540
42.1%
(Missing) 642
50.0%
ValueCountFrequency (%)
46008 1
0.1%
46009 1
0.1%
46019 1
0.1%
46021 1
0.1%
46033 1
0.1%
46036 1
0.1%
46037 1
0.1%
46040 1
0.1%
46060 1
0.1%
46067 1
0.1%
ValueCountFrequency (%)
619906 1
0.1%
619903 2
0.2%
619902 1
0.1%
617844 1
0.1%
617840 2
0.2%
617838 1
0.1%
617833 1
0.1%
617822 1
0.1%
617809 2
0.2%
617808 1
0.1%

사업장명
Text

Distinct1227
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2024-04-17T15:08:20.810524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length7.7538941
Min length1

Characters and Unicode

Total characters9956
Distinct characters495
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1175 ?
Unique (%)91.5%

Sample

1st row코어(CORE)
2nd row(주) 탑아이티텔레콤
3rd row주식회사 보우정보
4th row(주)두성크리에이터
5th row(주)야마야푸즈서비스
ValueCountFrequency (%)
주식회사 183
 
11.3%
주 11
 
0.7%
부산지점 5
 
0.3%
주)티브로드 5
 
0.3%
대부중개 5
 
0.3%
유한회사 4
 
0.2%
모바일 4
 
0.2%
농업회사법인 4
 
0.2%
korea 3
 
0.2%
정보통신 3
 
0.2%
Other values (1307) 1396
86.0%
2024-04-17T15:08:21.147310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 682
 
6.9%
) 518
 
5.2%
( 518
 
5.2%
342
 
3.4%
이 310
 
3.1%
사 258
 
2.6%
스 248
 
2.5%
회 232
 
2.3%
식 208
 
2.1%
신 161
 
1.6%
Other values (485) 6479
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8148
81.8%
Close Punctuation 518
 
5.2%
Open Punctuation 518
 
5.2%
Space Separator 342
 
3.4%
Uppercase Letter 251
 
2.5%
Lowercase Letter 95
 
1.0%
Other Punctuation 50
 
0.5%
Decimal Number 21
 
0.2%
Other Symbol 12
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 682
 
8.4%
이 310
 
3.8%
사 258
 
3.2%
스 248
 
3.0%
회 232
 
2.8%
식 208
 
2.6%
신 161
 
2.0%
통 159
 
2.0%
부 135
 
1.7%
정 129
 
1.6%
Other values (423) 5626
69.0%
Uppercase Letter
ValueCountFrequency (%)
S 22
 
8.8%
M 20
 
8.0%
C 17
 
6.8%
T 16
 
6.4%
K 15
 
6.0%
A 14
 
5.6%
L 13
 
5.2%
I 13
 
5.2%
B 13
 
5.2%
O 12
 
4.8%
Other values (16) 96
38.2%
Lowercase Letter
ValueCountFrequency (%)
o 14
14.7%
i 12
12.6%
n 11
11.6%
s 8
8.4%
e 8
8.4%
t 6
 
6.3%
u 5
 
5.3%
c 5
 
5.3%
d 5
 
5.3%
l 4
 
4.2%
Other values (11) 17
17.9%
Decimal Number
ValueCountFrequency (%)
1 8
38.1%
0 4
19.0%
2 3
 
14.3%
4 2
 
9.5%
7 2
 
9.5%
5 2
 
9.5%
Other Punctuation
ValueCountFrequency (%)
. 24
48.0%
& 20
40.0%
/ 4
 
8.0%
, 2
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 518
100.0%
Open Punctuation
ValueCountFrequency (%)
( 518
100.0%
Space Separator
ValueCountFrequency (%)
342
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8160
82.0%
Common 1450
 
14.6%
Latin 346
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 682
 
8.4%
이 310
 
3.8%
사 258
 
3.2%
스 248
 
3.0%
회 232
 
2.8%
식 208
 
2.5%
신 161
 
2.0%
통 159
 
1.9%
부 135
 
1.7%
정 129
 
1.6%
Other values (424) 5638
69.1%
Latin
ValueCountFrequency (%)
S 22
 
6.4%
M 20
 
5.8%
C 17
 
4.9%
T 16
 
4.6%
K 15
 
4.3%
A 14
 
4.0%
o 14
 
4.0%
L 13
 
3.8%
I 13
 
3.8%
B 13
 
3.8%
Other values (37) 189
54.6%
Common
ValueCountFrequency (%)
) 518
35.7%
( 518
35.7%
342
23.6%
. 24
 
1.7%
& 20
 
1.4%
1 8
 
0.6%
/ 4
 
0.3%
0 4
 
0.3%
2 3
 
0.2%
, 2
 
0.1%
Other values (4) 7
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8148
81.8%
ASCII 1796
 
18.0%
None 12
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 682
 
8.4%
이 310
 
3.8%
사 258
 
3.2%
스 248
 
3.0%
회 232
 
2.8%
식 208
 
2.6%
신 161
 
2.0%
통 159
 
2.0%
부 135
 
1.7%
정 129
 
1.6%
Other values (423) 5626
69.0%
ASCII
ValueCountFrequency (%)
) 518
28.8%
( 518
28.8%
342
19.0%
. 24
 
1.3%
S 22
 
1.2%
M 20
 
1.1%
& 20
 
1.1%
C 17
 
0.9%
T 16
 
0.9%
K 15
 
0.8%
Other values (51) 284
15.8%
None
ValueCountFrequency (%)
㈜ 12
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1284
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0141526 × 1013
Minimum2.0070731 × 1013
Maximum2.0211126 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:21.267684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070731 × 1013
5-th percentile2.0080825 × 1013
Q12.0110284 × 1013
median2.0140814 × 1013
Q32.0170615 × 1013
95-th percentile2.0210108 × 1013
Maximum2.0211126 × 1013
Range1.4039501 × 1011
Interquartile range (IQR)6.0331007 × 1010

Descriptive statistics

Standard deviation3.8896197 × 1010
Coefficient of variation (CV)0.0019311445
Kurtosis-1.0393947
Mean2.0141526 × 1013
Median Absolute Deviation (MAD)3.0186987 × 1010
Skewness0.069496259
Sum2.5861719 × 1016
Variance1.5129142 × 1021
MonotonicityNot monotonic
2024-04-17T15:08:21.385194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201007125757 1
 
0.1%
20151221164223 1
 
0.1%
20160218165956 1
 
0.1%
20210208172843 1
 
0.1%
20210107113348 1
 
0.1%
20210108092705 1
 
0.1%
20161126121252 1
 
0.1%
20200406102034 1
 
0.1%
20210222181911 1
 
0.1%
20180828163737 1
 
0.1%
Other values (1274) 1274
99.2%
ValueCountFrequency (%)
20070731144005 1
0.1%
20070731172201 1
0.1%
20070807171411 1
0.1%
20070824113238 1
0.1%
20070824160010 1
0.1%
20070828133537 1
0.1%
20071108130608 1
0.1%
20071109173715 1
0.1%
20071127143254 1
0.1%
20071207093824 1
0.1%
ValueCountFrequency (%)
20211126150703 1
0.1%
20211126112322 1
0.1%
20211124200644 1
0.1%
20211123181352 1
0.1%
20211109173936 1
0.1%
20211108142637 1
0.1%
20211028153450 1
0.1%
20211025170713 1
0.1%
20211022142026 1
0.1%
20211022134038 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
I
1127 
U
157 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowI
3rd rowI
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I 1127
87.8%
U 157
 
12.2%

Length

2024-04-17T15:08:21.506860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:08:21.603420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1127
87.8%
u 157
 
12.2%

데이터갱신일자
Date

Distinct214
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-11-28 02:40:00
2024-04-17T15:08:21.698894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T15:08:21.831856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct805
Distinct (%)65.1%
Missing48
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean388717.23
Minimum373571.48
Maximum407764.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:21.937297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373571.48
5-th percentile380976.78
Q1387469.58
median388641.59
Q3390055.52
95-th percentile395458.39
Maximum407764.36
Range34192.881
Interquartile range (IQR)2585.9324

Descriptive statistics

Standard deviation4062.2118
Coefficient of variation (CV)0.0104503
Kurtosis2.9574741
Mean388717.23
Median Absolute Deviation (MAD)1274.2192
Skewness0.30902456
Sum4.804545 × 108
Variance16501564
MonotonicityNot monotonic
2024-04-17T15:08:22.045884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
388485.246432899 23
 
1.8%
389473.281486449 19
 
1.5%
387225.613588405 16
 
1.2%
387993.482649182 12
 
0.9%
387630.58080969 11
 
0.9%
388798.742326259 8
 
0.6%
392859.978697383 8
 
0.6%
393790.344709358 8
 
0.6%
387625.86797096 7
 
0.5%
387469.584540928 7
 
0.5%
Other values (795) 1117
87.0%
(Missing) 48
 
3.7%
ValueCountFrequency (%)
373571.480941768 1
0.1%
373988.512838888 2
0.2%
374253.112340712 1
0.1%
376599.300709847 1
0.1%
377141.990630466 1
0.1%
377197.758646406 2
0.2%
377465.924295 1
0.1%
377614.488355375 1
0.1%
378105.275764927 1
0.1%
378760.018335895 1
0.1%
ValueCountFrequency (%)
407764.362232371 1
0.1%
407240.89489229 1
0.1%
407224.15471702 1
0.1%
407089.378718505 1
0.1%
405522.61178727 1
0.1%
403804.630703364 1
0.1%
402225.504544679 1
0.1%
401853.757726 1
0.1%
401682.975998888 1
0.1%
401447.637635904 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct804
Distinct (%)65.0%
Missing48
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean187873.67
Minimum174926.66
Maximum206343.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:22.152741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174926.66
5-th percentile180726.5
Q1185582.27
median187658.4
Q3189714.55
95-th percentile195838.53
Maximum206343.36
Range31416.7
Interquartile range (IQR)4132.2766

Descriptive statistics

Standard deviation4355.3181
Coefficient of variation (CV)0.023182163
Kurtosis1.9348634
Mean187873.67
Median Absolute Deviation (MAD)2063.552
Skewness0.60789455
Sum2.3221186 × 108
Variance18968796
MonotonicityNot monotonic
2024-04-17T15:08:22.272225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187658.396387017 23
 
1.8%
189228.061082038 19
 
1.5%
186408.726533861 16
 
1.2%
186876.485393314 12
 
0.9%
186409.994828231 11
 
0.9%
188328.743910701 8
 
0.6%
187523.604270761 8
 
0.6%
188235.889521484 8
 
0.6%
186117.09883859 7
 
0.5%
186168.671007785 7
 
0.5%
Other values (794) 1117
87.0%
(Missing) 48
 
3.7%
ValueCountFrequency (%)
174926.658916532 1
 
0.1%
174949.822461937 1
 
0.1%
175213.001131118 1
 
0.1%
175359.769070119 1
 
0.1%
176580.102067648 1
 
0.1%
176893.324496578 1
 
0.1%
177436.655876843 1
 
0.1%
177507.608774077 1
 
0.1%
177623.034608355 3
0.2%
177937.719813596 2
0.2%
ValueCountFrequency (%)
206343.359052 1
0.1%
206281.265893726 1
0.1%
206018.426741087 1
0.1%
205478.96147021 1
0.1%
205461.285509767 1
0.1%
205403.743320692 1
0.1%
205331.700588625 1
0.1%
204619.863730079 1
0.1%
203492.652003776 1
0.1%
202095.800730316 1
0.1%

자산규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct297
Distinct (%)41.2%
Missing564
Missing (%)43.9%
Infinite0
Infinite (%)0.0%
Mean9.0871504 × 1010
Minimum0
Maximum5.8274736 × 1013
Zeros79
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:22.400406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120000000
median50000000
Q33 × 108
95-th percentile5.1137504 × 109
Maximum5.8274736 × 1013
Range5.8274736 × 1013
Interquartile range (IQR)2.8 × 108

Descriptive statistics

Standard deviation2.1776819 × 1012
Coefficient of variation (CV)23.964409
Kurtosis711.71335
Mean9.0871504 × 1010
Median Absolute Deviation (MAD)50000000
Skewness26.611343
Sum6.5427483 × 1013
Variance4.7422985 × 1024
MonotonicityNot monotonic
2024-04-17T15:08:22.524287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 151
 
11.8%
0 79
 
6.2%
10000000 47
 
3.7%
100000000 36
 
2.8%
30000000 27
 
2.1%
20000000 25
 
1.9%
150000000 16
 
1.2%
300000000 9
 
0.7%
1000000 9
 
0.7%
5000000 8
 
0.6%
Other values (287) 313
24.4%
(Missing) 564
43.9%
ValueCountFrequency (%)
0 79
6.2%
50000 1
 
0.1%
199560 1
 
0.1%
300000 1
 
0.1%
1000000 9
 
0.7%
1743948 1
 
0.1%
2000000 2
 
0.2%
2968387 1
 
0.1%
3000000 2
 
0.2%
4195000 1
 
0.1%
ValueCountFrequency (%)
58274736121400 1
0.1%
4287171590435 1
0.1%
813483880000 1
0.1%
771591249407 1
0.1%
154739323959 1
0.1%
120453636000 1
0.1%
100091909215 1
0.1%
86314571577 1
0.1%
67525432454 1
0.1%
49418153697 1
0.1%

부채총액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct262
Distinct (%)36.5%
Missing567
Missing (%)44.2%
Infinite0
Infinite (%)0.0%
Mean8.1179783 × 1010
Minimum0
Maximum5.3019721 × 1013
Zeros420
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-04-17T15:08:22.644582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.3839901 × 108
95-th percentile3.8417795 × 109
Maximum5.3019721 × 1013
Range5.3019721 × 1013
Interquartile range (IQR)1.3839901 × 108

Descriptive statistics

Standard deviation1.9849776 × 1012
Coefficient of variation (CV)24.451625
Kurtosis709.51576
Mean8.1179783 × 1010
Median Absolute Deviation (MAD)0
Skewness26.576452
Sum5.8205904 × 1013
Variance3.940136 × 1024
MonotonicityNot monotonic
2024-04-17T15:08:22.759103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 420
32.7%
100000000 9
 
0.7%
30000000 7
 
0.5%
50000000 7
 
0.5%
20000000 6
 
0.5%
80000000 4
 
0.3%
10000000 4
 
0.3%
150000000 3
 
0.2%
16011376981 2
 
0.2%
55000000 2
 
0.2%
Other values (252) 253
19.7%
(Missing) 567
44.2%
ValueCountFrequency (%)
0 420
32.7%
55356 1
 
0.1%
443448 1
 
0.1%
968387 1
 
0.1%
985303 1
 
0.1%
1101240 1
 
0.1%
1256855 1
 
0.1%
1261800 1
 
0.1%
1273100 1
 
0.1%
1700000 1
 
0.1%
ValueCountFrequency (%)
53019720896146 1
0.1%
3781725721668 1
0.1%
665004058309 1
0.1%
101945709477 1
0.1%
72002593000 1
0.1%
71755142536 1
0.1%
31483064051 1
0.1%
30070787337 1
0.1%
28837496915 1
0.1%
26482000000 1
0.1%

자본금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct146
Distinct (%)20.3%
Missing566
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean9.1703743 × 109
Minimum-3.3891026 × 109
Maximum5.2550152 × 1012
Zeros38
Zeros (%)3.0%
Negative4
Negative (%)0.3%
Memory size11.4 KiB
2024-04-17T15:08:22.888428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.3891026 × 109
5-th percentile0
Q120000000
median50000000
Q31.483363 × 108
95-th percentile1.0725 × 109
Maximum5.2550152 × 1012
Range5.2584043 × 1012
Interquartile range (IQR)1.283363 × 108

Descriptive statistics

Standard deviation1.9817883 × 1011
Coefficient of variation (CV)21.610768
Kurtosis687.72615
Mean9.1703743 × 109
Median Absolute Deviation (MAD)40000000
Skewness26.011952
Sum6.5843287 × 1012
Variance3.927485 × 1022
MonotonicityNot monotonic
2024-04-17T15:08:23.029262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 239
18.6%
10000000 68
 
5.3%
100000000 54
 
4.2%
150000000 38
 
3.0%
0 38
 
3.0%
30000000 30
 
2.3%
20000000 26
 
2.0%
300000000 19
 
1.5%
1000000 14
 
1.1%
5000000 11
 
0.9%
Other values (136) 181
 
14.1%
(Missing) 566
44.1%
ValueCountFrequency (%)
-3389102595 1
 
0.1%
-359742524 1
 
0.1%
-30721315 1
 
0.1%
-7981168 1
 
0.1%
0 38
3.0%
10000 1
 
0.1%
50000 2
 
0.2%
200000 1
 
0.1%
243888 1
 
0.1%
250000 1
 
0.1%
ValueCountFrequency (%)
5255015225254 1
0.1%
741481320000 1
0.1%
218000000000 1
0.1%
61194035158 1
0.1%
31000000000 1
0.1%
30860000000 1
0.1%
21633164631 1
0.1%
20747480000 1
0.1%
20000000000 2
0.2%
10929308930 1
0.1%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1284
Missing (%)100.0%
Memory size11.4 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
01전화권유판매업08_26_03_P3250000201832500832420000120180314<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-466-0046<NA><NA>부산광역시 중구 중앙동*가 **-**부산광역시 중구 충장대로*번길 **, 남정빌딩 ***호 (중앙동*가)48936코어(CORE)20201007125757U2020-10-09 02:40:00.0<NA>385752.555956180859.809126<NA><NA><NA><NA><NA>
12전화권유판매업08_26_03_P3250000202132501452420000220150831<NA>1영업/정상1정상영업<NA><NA><NA><NA>051-207-1111<NA><NA>부산광역시 중구 중앙동*가 **-*부산광역시 중구 충장대로*번길 **-*, *층 (중앙동*가)48937(주) 탑아이티텔레콤20210716172642I2021-07-18 00:23:06.0<NA>385737.128798180747.48756696388866854790607909098061<NA><NA>
23전화권유판매업08_26_03_P3250000202132501452420000120210415<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동*가 **-*부산광역시 중구 충장대로*번길 **-*, ***호 (중앙동*가)48937주식회사 보우정보20210415164804I2021-04-17 00:22:58.0<NA>385737.128798180747.48756650000000050000000<NA><NA>
34전화권유판매업08_26_03_P3250000200832500592420000120080416<NA>3폐업3폐업처리20100331<NA><NA><NA>051 710 0088<NA>600012부산광역시 중구 중앙동*가 **번지 대신증권빌딩 *층부산광역시 중구 해관로 ** (중앙동*가,대신증권빌딩 *층)<NA>(주)두성크리에이터20100331155844I2018-08-31 23:59:59.0<NA>385568.38851179981.05839450000000050000000<NA><NA>
45전화권유판매업08_26_03_P3250000200732500592420003220070507<NA>3폐업3폐업처리20090310<NA><NA><NA>051 465 2480<NA>600714부산광역시 중구 중앙동*가 **번지 *호 국제회관빌딩 *층부산광역시 중구 중앙대로 ** (중앙동*가,국제회관빌딩 *층)<NA>(주)야마야푸즈서비스20090311134734I2018-08-31 23:59:59.0<NA>385666.280865179774.15839628859957589283668222000000000<NA><NA>
56전화권유판매업08_26_03_P3250000200932500832420000120080414<NA>3폐업3폐업처리20101123<NA><NA><NA><NA><NA>600816부산광역시 중구 중앙동*가 **번지 *호 케이티중부산지사 *층부산광역시 중구 중앙대로 *** (중앙동*가)600816(주)텔라이브20111030143121I2018-08-31 23:59:59.0<NA>385709.21692180842.067771430355559118420371100000000<NA><NA>
67전화권유판매업08_26_03_P3250000201332500832420000120130509<NA>3폐업3폐업처리20201228<NA><NA><NA>051-463-3556<NA><NA><NA>부산광역시 중구 중앙대로 **, *층 (중앙동*가, 동아일보 부산사옥)600815한국사진기자협회 영남지사20201228141512U2020-12-30 02:40:00.0<NA>385554.473566180381.456429<NA><NA><NA><NA><NA>
78전화권유판매업08_26_03_P3250000200732500592420003420070716<NA>3폐업3폐업처리20080125<NA><NA><NA>051 441 2905<NA>600721부산광역시 중구 중앙동*가 **번지 *호 흥우빌딩 *층부산광역시 중구 중앙대로 ** (중앙동*가,흥우빌딩 *층)<NA>(주)유니원20080125141937I2018-08-31 23:59:59.0<NA>385614.928478180471.183034877495656549881097350000000<NA><NA>
89전화권유판매업08_26_03_P3250000201332500832420000220130621<NA>3폐업3폐업처리20141231<NA><NA><NA>051-464-5288<NA><NA><NA>부산광역시 중구 중앙대로 **, *층 (중앙동*가, 동아일보부산사옥)600815한국조사기자협회 영남지부20141231101215I2018-08-31 23:59:59.0<NA>385554.473566180381.456429<NA><NA><NA><NA><NA>
910전화권유판매업08_26_03_P3250000200832500592420000320080428<NA>3폐업3폐업처리20080826<NA><NA><NA>051 711 3000<NA>600723부산광역시 중구 중앙동*가 **번지 **호 정석빌딩 ***호부산광역시 중구 중앙대로 **, ***호 (중앙동*가,정석빌딩)<NA>(주)대광인베스트20080826151327I2018-08-31 23:59:59.0<NA>385616.660201180406.241288319817275329852750000000<NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)자산규모부채총액자본금판매방식명Unnamed: 32
12741275전화권유판매업08_26_03_P3400000201434000442420000120141126<NA>3폐업3폐업처리20151020<NA><NA><NA>051-701-1482<NA><NA><NA>부산광역시 기장군 기장읍 차성로 ***619903가온통신20151020161339I2018-08-31 23:59:59.0<NA>401374.625613195838.533577<NA><NA><NA><NA><NA>
12751276전화권유판매업08_26_03_P3400000201534000722420000120150817<NA>3폐업3폐업처리20181113<NA><NA><NA>051-728-3019<NA><NA>부산광역시 기장군 정관읍 달산리 ****번지 정관신도시 엘에이치 *단지부산광역시 기장군 정관읍 산단*로 ***, ***동 ***호 (정관신도시 엘에이치 *단지)46021엠(M)2 글로벌20181113164151U2018-11-15 02:36:16.0<NA>399332.52145204619.86373<NA><NA><NA><NA><NA>
12761277전화권유판매업08_26_03_P3400000201634000722420000120160411<NA>3폐업3폐업처리20160527<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 기장읍 용궁길 **-*46084해동용궁수산20160527102826I2018-08-31 23:59:59.0<NA>402225.504545190035.931799<NA><NA><NA><NA><NA>
12771278전화권유판매업08_26_03_P3400000201734000722420000220160607<NA>3폐업3폐업처리20170607<NA><NA><NA>051-717-2371<NA><NA><NA>부산광역시 기장군 장안읍 장곡길 ***, ***동 ***호 (보경아트VILL)46033주식회사 오성피앤씨20170619155419I2018-08-31 23:59:59.0<NA>403804.630703203492.65200410000000010000000<NA><NA>
12781279전화권유판매업08_26_03_P3400000201734001092420000120160629<NA>3폐업3폐업처리20171103<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 정관*로 **, ***동 ****호 (정관신도시현진에버빌)46009알뜰모바일20171103101034I2018-08-31 23:59:59.0<NA>397254.273652206343.359052<NA><NA><NA><NA><NA>
12791280전화권유판매업08_26_03_P3400000201834001092420000120180314<NA>3폐업3폐업처리20211122<NA><NA><NA>070-8179-2000<NA><NA>부산광역시 기장군 일광면 신평리 **번지 칠암마을회관부산광역시 기장군 일광면 문오성길 ***-*, 칠암마을회관46040주식회사 오토기술20211124200644U2021-11-26 02:40:00.0<NA>405522.611787202095.8007300150000000<NA><NA>
12801281전화권유판매업08_26_03_P3400000200834000442420000120080826<NA>3폐업3폐업처리20141105<NA><NA><NA>051-747-4300<NA>619951부산광역시 기장군 장안읍 월내리 **번지 **호부산광역시 기장군 장안읍 월내해안길 **<NA>(주) 네스아이20141105134922I2018-08-31 23:59:59.0<NA>407224.154717205403.74332133199734192932326239074015<NA><NA>
12811282전화권유판매업08_26_03_P3400000200834000442420000220080826<NA>3폐업3폐업처리20141104<NA><NA><NA>051-817-0555<NA>619903부산광역시 기장군 기장읍 대라리 ***번지 *호부산광역시 기장군 기장읍 차성로 ***<NA>(주) 제일아이엔씨20141105105652I2018-08-31 23:59:59.0<NA>401374.625613195838.533577507057337164654698160000000<NA><NA>
12821283전화권유판매업08_26_03_P3400000201234000442420000620120612<NA>3폐업3폐업처리20140804<NA><NA><NA>051-723-2126<NA><NA><NA>부산광역시 기장군 기장읍 당사로*길 *619902MY LG 070 서비스20140804155241I2018-08-31 23:59:59.0<NA>401199.217214189625.15978800<NA><NA><NA>
12831284전화권유판매업08_26_03_P3400000202134001092420000220210120<NA>3폐업3폐업처리20211025<NA><NA><NA>051-702-1017<NA><NA>부산광역시 기장군 기장읍 동부리 ***-**부산광역시 기장군 기장읍 차성로***번길 **, *층46060주식회사 에이치씨글로벌20211025170713U2021-10-27 02:40:00.0<NA>401272.723638196533.32244730000000030000000<NA><NA>